CloudBase AI Toolkit is an integration layer that lets AI coding tools use Tencent CloudBase as an application backend, including databases, authentication, functions, storage, and deployments. Developers use it to have coding agents build and operate CloudBase-backed applications through skills, plugins, commands, and chat-accessible tools. The catalogue entries are the toolkit’s own skills, agents, hooks, plugins, rules, instructions, and MCP tools.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill data-model-creationgit clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-ToolkitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tencentcloudbase/cloudbase-ai-toolkit/data-model-creation)<a href="https://agentmods.dev/skills/tencentcloudbase/cloudbase-ai-toolkit/data-model-creation"><img src="https://agentmods.dev/badge/skills/tencentcloudbase/cloudbase-ai-toolkit/data-model-creation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tencentcloudbase/cloudbase-ai-toolkit/data-model-creation"><img src="https://agentmods.dev/badge/skills/tencentcloudbase/cloudbase-ai-toolkit/data-model-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00068 | $0.01564 |
| Opus 5.5 | $0.00027 | $0.00626 |
| Sonnet 5.5 | $0.00014 | $0.00313 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
data-model-creation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
3 near-identical copies found in the catalogue:
- data-model-creation — 100% identical, 0 lines differ
- data-model-creation — 98% identical, 3 lines differ
- data-model-creation — 98% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sibling skills (local only)
Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/SKILL.md.
If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.
Data Model Creation
Activation Contract
Use this first when
- The user explicitly wants Mermaid
classDiagrammodeling. - The task needs complex multi-entity relational design, visual ER-style output, or generated data-model structure rather than direct SQL.
- You need to create CloudBase data models through the dedicated modeling tools, or you need to inspect an existing model before planning follow-up changes.
Read before writing code if
- The request mentions data model, ER diagram, Mermaid, relationship graph, or enterprise schema design.
- The user wants to reuse or update an existing published model.
Then also read
- Direct MySQL SQL creation or schema change ->
../relational-database-mcp-cloudbase/SKILL.md - PostgreSQL / CloudBase PG schema work ->
../postgresql-development-cloudbase/SKILL.md - Broader feature planning before schema work ->
../spec-workflow/SKILL.md
Do NOT use for
- Simple
CREATE TABLE,ALTER TABLE, or CRUD tasks. - Document-database collection design.
- Frontend-only data-shape discussions with no modeling requirement.
Common mistakes / gotchas
- Using Mermaid modeling for a task that only needs one or two SQL statements.
- Mixing SQL-table design and NoSQL collection design in the same model.
- Generating diagrams without first deciding entity boundaries and ownership relations.
- Publishing a new model before validating the generated fields and relationships.
Minimal checklist
- Confirm Mermaid modeling is actually needed.
- List the core entities and relationships first.
- Decide whether this is a new model or an update.
- Keep the initial model small unless the user explicitly wants a large enterprise schema.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago Changed 188496e806c1
- 4d ago Changed 1c6edc1a744d
- 10d ago Changed f73dbce5f02a
- 14d ago Changed · +1 lines 3244bdd755aa
- 23d ago Changed 268278aa33b8
- 1mo ago Changed 835edb182b3b
- 1mo ago Changed c7b1871eaefb
- 1mo ago Changed a5331f8499af
- 1mo ago Changed 22381dbd6d49
- 1mo ago First seen · 189 lines · 68 tokens per session scan A 6db2da5e00a7
data-model-creation is a skill published in the GitHub repository TencentCloudBase/CloudBase-AI-Toolkit (1,147 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 1,564 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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